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For Companies At a Glance
- Tasks: Lead a team to create impactful data solutions for various business units.
- Company: Innovative SaaS FinTech organisation with a growing presence in the UK and Europe.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a high-performing team and drive data-driven decisions across the organisation.
- Why this job: Shape the future of analytics in a dynamic and fast-paced environment.
- Qualifications: Proven leadership in analytics engineering and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
ScalersHQ are proud to be partnering with an innovative SaaS FinTech organisation who have a growing presence across the UK & Europe. Our partner works across SaaS payments where they help solve and manage payment complexity.
The Role:
We are looking for a Head of Analytics Engineering to lead a team of Engineers and work closely with key business units to help translate complex requirements into actionable data solutions. The Head of Analytics Engineering will play a key role in communicating insights with a focus on impact and enabling data-driven decisions across Sales, Marketing, Finance, Product and Engineering teams to align analytics solutions in line with business objectives and technical capabilities.
Responsibilities & Experience:
- Leadership & Strategy - Defining and owning the technical vision and strategy for Analytics & Engineering ensuring alignment with our partners business objectives.
- Show strategic ownership, set direction and drive alignment and measurable outcomes across group level.
- Extensive experience leading teams of senior engineers, with a track record of scaling high-performing analytics engineering teams.
- Exceptional communicator with proven senior stakeholder management skills.
- Strong experience with modern analytics engineering (DBT, Snowflake, Fivetran or equivalent) and can provide strong technical oversight without being hands-on day-to-day.
- Working knowledge of semantic layers and understand how they underpin reliable, consistent data access, including enabling AI tooling.
If the above is of interest, please apply with an updated copy of your CV and a member of the Scalers team will be in touch.
Head of Analytics in Lincoln employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Lincoln
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to analytics engineering. We recommend using real-world examples from your experience to showcase your skills and how they align with the role.
✨Tip Number 3
Showcase your passion for data! During interviews, share your thoughts on current trends in analytics and how they could impact the business. This will demonstrate your enthusiasm and strategic thinking.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your genuine interest in the position. Plus, it’s a great chance to reiterate why you’re the perfect fit!
We think you need these skills to ace Head of Analytics in Lincoln
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Analytics role. Highlight your experience in leading analytics teams and any relevant technical skills, like DBT or Snowflake, that align with what we're looking for.
Showcase Your Leadership Skills: We want to see how you've led teams and driven strategic outcomes in your previous roles. Use specific examples to demonstrate your ability to manage senior stakeholders and deliver impactful data solutions.
Communicate Clearly: Your written application should reflect your exceptional communication skills. Be clear and concise, making it easy for us to understand your experience and how it relates to the role.
Apply Through Our Website: Don't forget to apply through our website! This helps us keep track of your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Scalers
✨Know Your Analytics Tools
Make sure you’re well-versed in the tools mentioned in the job description, like DBT, Snowflake, and Fivetran. Brush up on your knowledge of these platforms and be ready to discuss how you've used them in past roles to drive data solutions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading high-performing teams. Think about specific challenges you faced, how you motivated your team, and the measurable outcomes you achieved. This will demonstrate your capability to align analytics with business objectives.
✨Communicate Clearly
As an exceptional communicator, you’ll need to convey complex insights simply. Practice explaining technical concepts in layman's terms, as you’ll likely need to engage with stakeholders from various departments like Sales and Marketing.
✨Align with Business Objectives
Research the company’s goals and think about how analytics can support those objectives. Be prepared to discuss how you would define and own the technical vision for analytics engineering in a way that aligns with their business strategy.